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Systems analysis of human brain gene expression: mechanisms for HIV-associated neurocognitive impairment and common pathways with Alzheimer’s disease

Overview of attention for article published in BMC Medical Genomics, February 2013
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Mentioned by

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3 X users
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1 Facebook page

Citations

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64 Dimensions

Readers on

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127 Mendeley
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1 CiteULike
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Title
Systems analysis of human brain gene expression: mechanisms for HIV-associated neurocognitive impairment and common pathways with Alzheimer’s disease
Published in
BMC Medical Genomics, February 2013
DOI 10.1186/1755-8794-6-4
Pubmed ID
Authors

Andrew J Levine, Jeremy A Miller, Paul Shapshak, Benjamin Gelman, Elyse J Singer, Charles H Hinkin, Deborah Commins, Susan Morgello, Igor Grant, Steve Horvath

Abstract

Human Immunodeficiency Virus-1 (HIV) infection frequently results in neurocognitive impairment. While the cause remains unclear, recent gene expression studies have identified genes whose transcription is dysregulated in individuals with HIV-association neurocognitive disorder (HAND). However, the methods for interpretation of such data have lagged behind the technical advances allowing the decoding genetic material. Here, we employ systems biology methods novel to the field of NeuroAIDS to further interrogate extant transcriptome data derived from brains of HIV + patients in order to further elucidate the neuropathogenesis of HAND. Additionally, we compare these data to those derived from brains of individuals with Alzheimer's disease (AD) in order to identify common pathways of neuropathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 122 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 25%
Student > Ph. D. Student 20 16%
Student > Master 13 10%
Professor 9 7%
Student > Doctoral Student 8 6%
Other 20 16%
Unknown 25 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 19%
Medicine and Dentistry 18 14%
Neuroscience 17 13%
Biochemistry, Genetics and Molecular Biology 11 9%
Computer Science 7 6%
Other 19 15%
Unknown 31 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2013.
All research outputs
#13,378,113
of 22,696,971 outputs
Outputs from BMC Medical Genomics
#499
of 1,213 outputs
Outputs of similar age
#161,008
of 287,582 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 12 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.